Kien-Cuong P. Nghiem

Papers

Total Citations

458

H-Index

About

Kien-Cuong P. Nghiem is a leading researcher at the intersection of artificial intelligence and bibliometrics, with a particular focus on the global evolution of AI in health and medicine. His most-cited work, a 2019 bibliometric study analyzing over 27,000 papers, has garnered 458 citations and provides a comprehensive historical and geographical map of AI’s integration into healthcare. This landmark contribution not only charts the rapid growth of the field but also identifies key research clusters, influential countries, and emerging trends, serving as a foundational reference for scholars and policymakers. Beyond this, Nghiem’s research often explores how computational methods can be used to understand and guide scientific progress, making him a key voice in the quantitative analysis of research landscapes. His work is widely cited for its methodological rigor and its ability to synthesize vast amounts of data into actionable insights, helping to shape the direction of AI-driven medical research. For students and researchers, Nghiem’s studies offer a clear, data-driven window into the past, present, and future of AI in health.